Evolution of IgE responses to multiple allergen components throughout childhood

Rebecca Howard, Danielle Belgrave, Panagiotis Papastamoulis, Angela Simpson, Magnus Rattray, Adnan Custovic

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Abstract

BackgroundThere is a paucity of information about longitudinal patterns of IgE responses to allergenic proteins (components) from multiple sources.ObjectiveTo investigate temporal patterns of component-specific IgE responses from infancy to adolescence, and their relationship with allergic diseases.MethodsIn a population-based birth cohort, we measured IgE to 112 components at 6 follow-ups during childhood. We used a Bayesian method to discover cross-sectional sensitization patterns and their longitudinal trajectories, and related these patterns to asthma and rhinitis in adolescence.ResultsWe identified one sensitization cluster at age one, 3 at age three, 4 at ages five and eight, 5 at age 11, and six at age 16 years. “Broad” cluster was the only cluster present at every follow-up, comprising of components from multiple sources. “Dust mite” cluster formed at age three and remained unchanged to adolescence. At age three, a single-component “Grass” cluster emerged, which at age five absorbed additional grass components and Fel d 1 to form the “Grass/cat” cluster. Two new clusters formed at age 11: “Cat” cluster and “PR-10/profilin” (which divided at age 16 into “PR-10” and “Profilin”). The strongest contemporaneous associate of asthma at age 16 years was sensitization to “Dust mite” cluster (OR [95% CI]: 2.6 [1.2-6.1], P<0.05), but the strongest early-life predictor of subsequent asthma was sensitization to “Grass/cat” cluster (3.5 [1.6–7.4], P<0.01).ConclusionsWe describe the architecture of the evolution of IgE responses to multiple allergen components throughout childhood, which may facilitate development of better diagnostic and prognostic biomarkers for allergic diseases.
Original languageEnglish
JournalJournal of Allergy and Clinical Immunology
Early online date8 Feb 2018
DOIs
Publication statusPublished - 2018

Keywords

  • IgE
  • childhood
  • component-resolved diagnostics
  • Machine learning
  • Allergens
  • asthma
  • rhinitis

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